23 сент. 2019 г. · Using a data set of 75 polymers, we find that the Hildebrand model displays a predictive accuracy of 60% for solvents and 76% for nonsolvents. Methods and Data Sets · Outlook · Supporting Information

10 окт. 2019 г. · In this study, we focus on two well-established models, namely, the Hildebrand and Hansen solubility parameter models.

22 окт. 2024 г. · Solubility parameter models are widely used to select suitable solvents/non-solvents for polymers in a variety of processing and engineering ...

23 сент. 2019 г. · The Hildebrand model has a predictive accuracy for non-polar polymers of 70-75%, it performs rather poorly for polar polymers (with an accuracy of 57%).

Solubility parameter models are widely used to select suitable solvents/nonsolvents for polymers in a variety of processing and engineering ...

12 дек. 2021 г. · Solubility Parameter is very useful concept in understanding the mechanism of solvent and solvency behavior with their applications in pharmaceuticals.

17 мар. 2020 г. · This paper describes the use Excel's Solver of Microsoft and desirability function for the determination of Hansen's solubility parameters (HSPs).

Since Hildebrand solubility parameters are only applicable to non-polar systems, Hansen proposed to extend the concept to polar systems by the introduction of ...

Hansen personally found in his lab more than 60 pairs of non-solvents which, in the right proportions, were able to dissolve 22 different polymers. Here are ...

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